#include "opennn/core/opennn_types.h"
#include "opennn/core/tensor_types.h"
#include "opennn/core/enum_map.h"

Go to the source code of this file.

Classes
struct	opennn::LinearBackwardOptions

Namespaces
namespace	opennn

Enumerations
enum class	opennn::Transpose { opennn::No , opennn::Yes }

Functions
float	opennn::gelu_value (float x)

float	opennn::gelu_tanh_value (float x)

float	opennn::silu_value (float x)

float	opennn::gelu_derivative (float x)

float	opennn::gelu_tanh_derivative (float x)

float	opennn::silu_derivative (float x)

const EnumMap< ActivationFunction > &	opennn::activation_function_map ()

const string &	opennn::activation_function_to_string (ActivationFunction)

ActivationFunction	opennn::activation_function_from_string (const string &)

bool	opennn::activation_needs_input (ActivationFunction function)

bool	opennn::blas_mkl_available ()

float	opennn::activation_forward_value (ActivationFunction function, float x)

float	opennn::activation_derivative_from_output_value (ActivationFunction function, float y)

template<typename TensorType>
TensorType::PlainObject	opennn::activation_forward_values (ActivationFunction function, const TensorType &values)

template<typename TensorType>
TensorType::PlainObject	opennn::activation_derivative_from_output_values (ActivationFunction function, const TensorType &values)

void	opennn::copy (const TensorView &, TensorView &)

void	opennn::add (const TensorView &, const TensorView &, TensorView &)

void	opennn::multiply (const TensorView &, Transpose, const TensorView &, Transpose, TensorView &, float alpha=1.0f, float beta=0.0f)

void	opennn::softmax (TensorView &)

void	opennn::softmax_backward (const TensorView &, TensorView &, float alpha=1.0f)

void	opennn::activation_forward (TensorView &, ActivationFunction)

void	opennn::activation_backward (const TensorView &, TensorView &, ActivationFunction)

void	opennn::linear_forward (const TensorView &, const TensorView &, const TensorView &, TensorView &, LinearEpilogue epilogue=LinearEpilogue::Bias, TensorView *pre_activation=nullptr, const TensorView &weight_scale={}, ActivationFunction fused_activation=ActivationFunction::Identity)

void	opennn::linear_backward (const TensorView &, const TensorView &, const TensorView &, const TensorView &, const TensorView &, TensorView &, bool accumulate_input_delta=false, const LinearBackwardOptions &options={})

void	opennn::linear_forward_transposed (const TensorView &input, const TensorView &embed_weight, TensorView &output, const TensorView &weight_scale={})

MatrixR	opennn::append_rows (const MatrixR &, const MatrixR &)

MatrixR	opennn::append_columns (const MatrixR &, const MatrixR &)

pair< MatrixR, MatrixR >	opennn::append_rows (const pair< MatrixR, MatrixR > &, const pair< MatrixR, MatrixR > &)

MatrixR	opennn::append_columns (const pair< MatrixR, MatrixR > &)

VectorR	opennn::slice_rows (const VectorR &, const vector< Index > &)

MatrixR	opennn::slice_rows (const MatrixR &, const vector< Index > &)

pair< MatrixR, MatrixR >	opennn::slice_rows (const pair< MatrixR, MatrixR > &, const vector< Index > &)

MatrixR	opennn::calculate_distances (const MatrixR &)

VectorI	opennn::get_nearest_points (const MatrixR &, const VectorR &, Index=1)

bool	opennn::row_dominates (const MatrixR &, Index, Index)

Variables
constexpr float	opennn::INV_SQRT_2 = 0.70710678118654752440f

constexpr float	opennn::INV_SQRT_2_PI = 0.39894228040143267794f

constexpr float	opennn::SQRT_2_OVER_PI = 0.7978845608028654f

constexpr float	opennn::GELU_TANH_CUBIC = 0.044715f

Classes

Namespaces

Enumerations

Functions

Variables